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Data Engineer – Cloud & Analytics

Credem • Italian: C1 • Financial Services • Spa & Massage • Python • SQL • Apex • ETL/ELT • 2 months ago
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Salary
$50k – $62k per year
Location
In office (Reggio Emilia)

Confirmed on the employer's own hiring board on Oct 13, 2026. First seen by Alion on Aug 4, 2026.

Overview
Company
Impact
Profile match

Credem

Credem is an Italian banking group offering banking, financial and insurance services to individuals, families and businesses, with a network of financial wellbankers. It hires full-stack developers, data engineers, Salesforce specialists and risk data scientists, mostly in Reggio Emilia and Milan. The bank is headquartered in Reggio Emilia, Italy.
credem.it • HQ: Reggio Emilia, Italy • Wealth Management & Financial Advisors • Commercial & Retail Banks • 5000+ employees
Tech stack of Credem

Credem, tra i gruppi bancari più solidi d'Italia, cerca un Data Engineer per costruire ed evolvere l'infrastruttura dati cloud che alimenta i sistemi commerciali del Gruppo, in piena transizione da architetture legacy verso un data lake moderno su Google BigQuery.

Ti occuperai di:

  • Progettare e gestire l'architettura dati end-to-end su Google BigQuery.

  • Costruire e far evolvere il data lake aziendale, garantendo qualità e scalabilità del dato.

  • Sviluppare e automatizzare pipeline dati complesse in Python e SQL.

  • Collaborare con i team Salesforce e marketing per garantire che i dati arrivino dove servono, nel formato giusto.

Sei la persona giusta se:

  • Hai 3-5 anni di esperienza come Data Engineer con padronanza di Python, SQL e ambienti cloud.

  • Hai lavorato su Google BigQuery o architetture data lake comparabili.

  • Sai costruire pipeline robuste e scalabili, non solo consumare dati già pronti.

Competenze:

  • Data Engineering

  • Python

  • Data Lake

  • Google BigQuery

  • Cloud Architecture

  • Salesforce Data Cloud

  • Data Pipeline

  • ETL

  • SQL

  • GCP

Nota:

Salesforce data Cloud è un plus.

Dettagli

Sede: Reggio Emilia o Milano (ibrido), 10 gg smart/mese.

Retribuzione e benefit: 45k-55k + MBO + Welfare + Assicurazione Sanitaria + Fondo Pensione + Ticket 8€

Selezione: colloquio tecnico + assessment e colloquio HR

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